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Canfor Pulp Products Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and CFX.TO is experiencing selling pressure, which indicates risk of future bearish movement.

Canfor Pulp Products Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.86 Sell
20-day SMA: 0.85 Sell
50-day SMA: 0.91 Sell
200-day SMA: 1.19 Sell
8-day EMA: 0.85 Sell
20-day EMA: 0.86 Sell
50-day EMA: 0.9 Sell
200-day EMA: 1.18 Sell

Canfor Pulp Products Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.02 Sell
Relative Strength Index (14 RSI): 43.4 Sell
Chaikin Money Flow: -19300 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.82 - 0.92) Sell
Bollinger Bands (100): (0.86 - 0.98) Sell

Canfor Pulp Products Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Canfor Pulp Products Stock

Is Canfor Pulp Products Stock a Buy?

CFX.TO Technical Analysis vs Fundamental Analysis

Sell
35
Canfor Pulp Products (CFX.TO) is a Sell

Is Canfor Pulp Products a Buy or a Sell?

Canfor Pulp Products Stock Info

Market Cap:
54.14M
Price in USD:
0.83
Share Volume:
19.3K

Canfor Pulp Products 52-Week Range

52-Week High:
2.01
52-Week Low:
0.80
Sell
35
Canfor Pulp Products (CFX.TO) is a Sell

Canfor Pulp Products Share Price Forecast

Is Canfor Pulp Products Stock a Buy?

Fundamental Analysis of Canfor Pulp Products

Is Canfor Pulp Products a good investment?

  • Analysts estimate an earnings increase this quarter of $0.02 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.39 per share, and an increase next year of $0.03 per share.

Technical Analysis of Canfor Pulp Products

Should I short Canfor Pulp Products stock?

* Canfor Pulp Products stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.